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Key For The Determination Of R
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Book Synopsis Tools and Algorithms for the Construction and Analysis of Systems by : Sriram Sankaranarayanan
Download or read book Tools and Algorithms for the Construction and Analysis of Systems written by Sriram Sankaranarayanan and published by Springer Nature. This book was released on 2023-04-21 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the proceedings of the 29th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2023, which was held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, during April 22-27, 2023, in Paris, France. The 56 full papers and 6 short tool demonstration papers presented in this volume were carefully reviewed and selected from 169 submissions. The proceedings also contain 1 invited talk in full paper length, 13 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, flexibility, and efficiency of tools and algorithms for building computer-controlled systems.
Book Synopsis Data Analysis and Graphics Using R by : John Maindonald
Download or read book Data Analysis and Graphics Using R written by John Maindonald and published by Cambridge University Press. This book was released on 2010-05-06 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.
Book Synopsis Analysis and Design of Algorithms by : Singhal Shefali
Download or read book Analysis and Design of Algorithms written by Singhal Shefali and published by BPB Publications. This book was released on 2019-09-20 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: A process or set of rules to be followed in calculations or other problem-solving operations, especially by a computerKey features This book is especially designed for beginners and explains all aspects of algorithm and its analysis in a simple and systematic manner. Algorithms and their working are explained in detail with the help of several illustrative examples. Important features like greedy algorithm, dynamic algorithm, string matching algorithm, branch and bound algorithm, NP hard and NP complete problems are suitably highlighted. Solved and frequently asked questions in the various competitive examinations, sample papers of the past examinations are provided which will serve as a useful reference source. Description The book has been written in such a way that the concepts and working of algorithms are explained in detail, with adequate examples. To make clarity on the topic, diagrams, calculation of complexity, algorithms are given extensively throughout. Many examples are provided which are helpful in understanding the algorithms by various strategies. This content is user-focused and has been highly updated including algorithms and their real-world examples.What will you learn Algorithm & Algorithmic Strategy, Complexity of Algorithms Divide-and-Conquer, Greedy, Backtracking, String-Matching Algorithm Dynamic Programming, P and NP Problems Graph Theory, Complexity of AlgorithmsWho this book is forThe book would serve as an extremely useful text for BCA, MCA, M. Sc. (Computer Science), PGDCA, BE (Information Technology) and B. Tech. and M. Tech. students.Table of contents1. Algorithm & Algorithmic Strategy2. Complexity of Algorithms3. Divide-and-Conquer Algorithms4. Greedy Algorithm5. Dynamic Programming6. Graph Theory7. Backtracking Algorithms8. Complexity of Algorithms9. String-Matching Algorithms10. P and NP ProblemsAbout the authorShefali Singhal is working as an Assistant professor in Computer science and Engineering department, Manav Rachna International University. She has completed her MTech. form YMCA University in Computer Engineering. Her research interest includes Programming Languages, Computer Network, Data mining, and Theory of computation.Neha Garg is working as an Assistant professor in in Computer science and Engineering department, Manav Rachna International University. She has completed her MTech. Form Banasthali University, Rajasthan in Information Technology. Her research interest includes Programming Languages, Data Structure, Operating System, Database Management Systems.
Book Synopsis Introduction to Classifier Performance Analysis with R by : Sutaip L.C. Saw
Download or read book Introduction to Classifier Performance Analysis with R written by Sutaip L.C. Saw and published by CRC Press. This book was released on 2024-12-03 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (CPA). Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including descriptive and inferential approaches to CPA. Exercises are included at the end of each chapter to reinforce learning. Key Features: An introduction to binary and multiclass classification problems is provided, including some classifiers based on statistical, machine and ensemble learning. Commonly used techniques for binary and multiclass CPA are covered, some from less well-known but useful points of view. Coverage also includes important topics that have not received much attention in textbook accounts of CPA. Limitations of some commonly used performance measures are highlighted. Coverage includes performance parameters and inferential techniques for them. Also covered are techniques for comparative analysis of competing classifiers. A key contribution involves the use of key R meta-packages like tidyverse and tidymodels for CPA, particularly the very useful yardstick package. This is a useful resource for upper level undergraduate and masters level students in data science, machine learning and related disciplines. Practitioners interested in learning how to use R to evaluate classifier performance can also potentially benefit from the book. The material and references in the book can also serve the needs of researchers in CPA.
Book Synopsis Epidemiologic Analysis with a Programmable Calculator by : Kenneth J. Rothman
Download or read book Epidemiologic Analysis with a Programmable Calculator written by Kenneth J. Rothman and published by . This book was released on 1979 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Crime Mapping and Spatial Data Analysis using R by : Juan Medina Ariza
Download or read book Crime Mapping and Spatial Data Analysis using R written by Juan Medina Ariza and published by CRC Press. This book was released on 2023-04-27 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis. This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis. It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis. It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence. In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data. We then introduce a series of tools to study spatial homogeneity and dependence. A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation. The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space. In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.
Book Synopsis Foundations of Security Analysis and Design V by : Alessandro Aldini
Download or read book Foundations of Security Analysis and Design V written by Alessandro Aldini and published by Springer Science & Business Media. This book was released on 2009-08-17 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents tutorial lectures from three International Schools on Foundations of Security Analysis and Design, FOSAD 2007/2008/2009. Topics include cryptographic protocol analysis, identity management and electronic voting, and wireless security.
Book Synopsis A Practical Guide to Data Analysis Using R by : John H. Maindonald
Download or read book A Practical Guide to Data Analysis Using R written by John H. Maindonald and published by Cambridge University Press. This book was released on 2024-05-31 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R.
Book Synopsis A Classified Catalogue of ... Educational Works in Use in the United Kingdom and Its Dependencies in 1876 ... by :
Download or read book A Classified Catalogue of ... Educational Works in Use in the United Kingdom and Its Dependencies in 1876 ... written by and published by . This book was released on 1876 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Classified Catalogue of School, College ... and General Educational Works in Use in the United Kingdom and Its Dependencies in 1876, Etc by : Catalogues
Download or read book A Classified Catalogue of School, College ... and General Educational Works in Use in the United Kingdom and Its Dependencies in 1876, Etc written by Catalogues and published by . This book was released on 1876 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adventures in Social Research by : Earl Babbie
Download or read book Adventures in Social Research written by Earl Babbie and published by SAGE Publications. This book was released on 2018-05-08 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proud sponsor of the 2019 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop. Recipient of the 2018 Cornerstone Author Award! Inspire students to pursue their own adventures in social research with this practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics offers a practical, hands-on introduction to the logic of social science research for students in many disciplines. The fully revised Tenth Edition offers step-by-step instruction on data analysis using the latest version (24.0) of SPSS and current data from the General Social Survey. Organized to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. The range of topics, from beginning to advanced, make Adventures in Social Research appropriate for both undergraduate and graduate courses. For students who are using SPSS for the first time, the free online study site includes video tutorials on basic procedures and operations and includes all SPSS data sets necessary for completing the exercises in the book. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.
Book Synopsis Statistical Analysis "In Focus" by : Gregory J. Privitera
Download or read book Statistical Analysis "In Focus" written by Gregory J. Privitera and published by SAGE Publications. This book was released on 2017-11-30 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analysis "In Focus" supports users of Gregory J. Privitera’s Statistics for the Behavioral Sciences, Third Edition who work with a statistical program other than SPSS or Excel. Three standalone parts, each dedicated to R, SAS, and Stata, serve as step-by-step guides for completing the "In Focus" exercises in Privitera’s core text. A conversational writing style along with "To The Student" introductions allow students to familiarize themselves and become more comfortable with each program prior to making computations. Additionally, General Instruction Guidebook (GIG) sections for R, SAS, and Stata provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.
Book Synopsis R Data Analysis without Programming by : David W. Gerbing
Download or read book R Data Analysis without Programming written by David W. Gerbing and published by Taylor & Francis. This book was released on 2023-01-30 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of this innovative book, R Data Analysis without Programming, prepares the readers to quickly analyze data and interpret statistical results using R. Professor Gerbing has developed lessR, a ground-breaking method in alleviating the challenges of R programming. The lessR extends R, removing the need for programming. This edition expands upon the first edition’s introduction to R through lessR, which enables the readers to learn how to organize data for analysis, read the data into R, and generate output without performing numerous functions and programming exercises first. With lessR, readers can select the necessary procedure and change the relevant variables with simple function calls. The text reviews and explains basic statistical procedures with the lessR enhancements added to the standard R environment. Using lessR, data analysis with R becomes immediately accessible to the novice user and easier to use for the experienced user. Highlights along with content new to this edition include: Explanation and Interpretation of all data analysis techniques; much more than a computer manual, this book shows the reader how to explain and interpret the results. Introduces the concepts and commands reviewed in each chapter. Clear, relaxed writing style more effectively communicates the underlying concepts than more stilted academic writing. Extensive margin notes highlight, define, illustrate, and cross-reference the key concepts. When readers encounter a term previously discussed, the margin notes identify the page number for the initial introduction. Scenarios that highlight the use of a specific analysis followed by the corresponding R/lessR input, output, and an interpretation of the results. Numerous examples of output from psychology, business, education, and other social sciences, that demonstrate the analysis and how to interpret results. Two data sets are analyzed multiple times in the book, provide continuity throughout. Comprehensive: A wide range of data analysis techniques are presented throughout the book. Integration with machine learning as regression analysis is presented from both the traditional perspective and from the modern machine learning perspective. End of chapter problems help readers test their understanding of the concepts. A website at www.lessRstats.com that features the data sets referenced in both standard text and SPSS formats so readers can practice using R/lessR by working through the text examples and worked problems, R/lessR videos to help readers better understand the program, and more. This book is ideal for graduate and undergraduate courses in statistics beyond the introductory course, research methods, and/or any data analysis course, taught in departments of psychology, business, education, and other social and health sciences; this book is also appreciated by researchers doing data analysis. Prerequisites include basic statistical knowledge, though the concepts are explained from the beginning in the book. Previous knowledge of R is not assumed.
Book Synopsis Data Structures and Algorithm Analysis in Java, Third Edition by : Clifford A. Shaffer
Download or read book Data Structures and Algorithm Analysis in Java, Third Edition written by Clifford A. Shaffer and published by Courier Corporation. This book was released on 2012-09-06 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language.
Book Synopsis Exploratory Data Analysis Using R by : Ronald K. Pearson
Download or read book Exploratory Data Analysis Using R written by Ronald K. Pearson and published by CRC Press. This book was released on 2018-05-04 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data. The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available. About the Author: Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network).
Book Synopsis Structured System Analysis and Design by : J.B. Dixit
Download or read book Structured System Analysis and Design written by J.B. Dixit and published by Firewall Media. This book was released on 2007 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Foundations of Security Analysis and Design II by : Riccardo Focardi
Download or read book Foundations of Security Analysis and Design II written by Riccardo Focardi and published by Springer. This book was released on 2004-01-24 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Security is a rapidly growing area of computer science, with direct and increasing relevance to real-life applications, such as Internet transactions, e-commerce, information protection, network and systems security, etc. Foundations for the analysis and design of security features of such applications are badly needed in order to validate and prove their correctness. This book presents thoroughly revised versions of six tutorial lectures given by leading researchers during two International Schools on Foundations of Security Analysis and Design, FOSAD 2001/2002, held in Bertinoro, Italy, in September 2001 and September 2002. The lectures are devoted to: - Formal Approaches to Approximating Noninterference Properties - The Key Establishment Problem - Name-Passing Calculi and Cryptoprimitives - Classification of Security Properties; Network Security - Cryptographic Algorithms for Multimedia Traffic - Security for Mobility
